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this is wild... a guy reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 and turned it into a 3,000+ Elo chess engine it’s AI chess cheat glasses built on Opus 5.5 + Jev, and the whole workflow is open source here’s the full breakdown: step 1 → one command...

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Codez

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640,988 görüntüleme • 3 gün önce •via X (Twitter)

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22 Yorum

BestShvili profil fotoğrafı
BestShvili3 gün önce

That kid was a beast

Movez profil fotoğrafı
Movez3 gün önce

damn bro, glasses should be banned on chess tournamets right now

Codez profil fotoğrafı
Codez3 gün önce

i guess its alredy is

L. David Fairchild profil fotoğrafı
L. David Fairchild3 gün önce

Cheating. Plain and simple.

Archive profil fotoğrafı
Archive3 gün önce

at this rate big companies are gonna have a rough time in the near future

Codez profil fotoğrafı
Codez3 gün önce

yeah, this is true mate

The SI Maximalist profil fotoğrafı
The SI Maximalist3 gün önce

“I saw that move” just got suspicious

Ariel David profil fotoğrafı
Ariel David3 gün önce

K

SlipperyNodd profil fotoğrafı
SlipperyNodd3 gün önce

The moves are showing up before the opponent plays, something is not right

DRIP 💨🇦🇺 profil fotoğrafı
DRIP 💨🇦🇺3 gün önce

Did he just move his king and his bishop in one go?

Tovi profil fotoğrafı
Tovi3 gün önce

I’d use this for post-game analysis. Being able to replay a real board game without entering every move would be handy.

Major profil fotoğrafı
Major3 gün önce

I can finally beat my friend who plays chess all the time

Jubal Tardy 🌵 profil fotoğrafı
Jubal Tardy 🌵3 gün önce

That kid did well against a cheating brown.

LittlePoly profil fotoğrafı
LittlePoly3 gün önce

my grandpa would like that stuff haha

m profil fotoğrafı
m3 gün önce

I don’t see any reverse engineering here: everything happens on a Mac via a standard WhatsApp call. The setup seems unnecessarily convoluted. An iPhone could handle frame processing, computer vision, and Stockfish locally - no costly cloud AI models needed. 🥴

Seeker profil fotoğrafı
Seeker3 gün önce

Imagine this technology being used for legitimate chess training instead

wantripman profil fotoğrafı
wantripman3 gün önce

I actually enjoyed watching the whole video. The kid put up a fight to the end but he was against an AI. AI seemed smart to put up defense around the king or was placed right for defense while initiating offensives.

NO1ennn profil fotoğrafı
NO1ennn3 gün önce

Can i get it ?

relliK booN profil fotoğrafı
relliK booN3 gün önce

Yeah… call complete bullshit here. Just edited video. If that was a 3000 engine, would have smashed that ginger in 20 moves.

David Arnal profil fotoğrafı
David Arnal3 gün önce

The legal-move check is a smart safeguard against misreading the board, but it doesn't stop the system from suggesting moves during a live game.

Zephyr profil fotoğrafı
Zephyr3 gün önce

Tournament organizers are about to ban glasses. Wild.

Miloš van DotNET ✡︎ profil fotoğrafı
Miloš van DotNET ✡︎3 gün önce

Wrote my own engine for (PVS, null-move, LMR, all C#). It searches 2x more nodes/s than Stockfish and still lost 92:0 to Stockfish 18 at 1s+10ms. So whatever is hitting 3,000+ through those glasses, I'd bet Stockfish is doing the real work, not the glasses.

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this is crazy... the guy reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 into a 3,000+ Elo chess engine he built AI chess cheat glasses on Opus 5.5 + Jev and open-sourced the whole workflow here's how it works step by step: step 1 → install it on your Mac with one command: npx chesshacker setup. It downloads Stockfish from GitHub and verifies the checksum step 2 → put on Meta Ray-Bans and video-call your own Mac on WhatsApp. The glasses see the board, the Mac sees what the glasses see step 3 → the Mac grabs frames straight from the call window. About 1 per second while it waits for the opponent, 1 every 3 seconds on your turn step 4 → Jev runs a cheap pre-check on every frame: is the board readable, is a hand over it, did a piece move? No change means no expensive AI call step 5 → only then Opus 5.5 reads the board. The app compares it with the position it already knows and accepts a move only if it's legal step 6 → Stockfish thinks for half a second and picks the best reply, with an eval like +1.5 or "mate in 3" step 7 → macOS speaks it through a virtual mic into the WhatsApp call: "Rook a to d1". You hear it in your ear step 8 → on the Mac a command center shows everything live: whose turn it is, the suggested move with a confidence bar, the move list and a log under the hood: → if Opus loses track of the board, the glasses say "Lost track of the board" and you fix it with undo or by typing the move → if Stockfish crashes, it restarts once and says "Something went wrong. Still trying" → every game is saved as a PGN file, API keys live in the macOS Keychain → an overlay draws the suggested move as an arrow on the live video, ready for OBS Clone his workflow below Then read the guide on how to reverse-engineer anything with Opus 5.5.
2:15

this is crazy... the guy reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 into a 3,000+ Elo chess engine he built AI chess cheat glasses on Opus 5.5 + Jev and open-sourced the whole workflow here's how it works step by step: step 1 → install it on your Mac with one command: npx chesshacker setup. It downloads Stockfish from GitHub and verifies the checksum step 2 → put on Meta Ray-Bans and video-call your own Mac on WhatsApp. The glasses see the board, the Mac sees what the glasses see step 3 → the Mac grabs frames straight from the call window. About 1 per second while it waits for the opponent, 1 every 3 seconds on your turn step 4 → Jev runs a cheap pre-check on every frame: is the board readable, is a hand over it, did a piece move? No change means no expensive AI call step 5 → only then Opus 5.5 reads the board. The app compares it with the position it already knows and accepts a move only if it's legal step 6 → Stockfish thinks for half a second and picks the best reply, with an eval like +1.5 or "mate in 3" step 7 → macOS speaks it through a virtual mic into the WhatsApp call: "Rook a to d1". You hear it in your ear step 8 → on the Mac a command center shows everything live: whose turn it is, the suggested move with a confidence bar, the move list and a log under the hood: → if Opus loses track of the board, the glasses say "Lost track of the board" and you fix it with undo or by typing the move → if Stockfish crashes, it restarts once and says "Something went wrong. Still trying" → every game is saved as a PGN file, API keys live in the macOS Keychain → an overlay draws the suggested move as an arrow on the live video, ready for OBS Clone his workflow below Then read the guide on how to reverse-engineer anything with Opus 5.5.

Movez

392,501 görüntüleme • 4 gün önce

a student from California just reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 and turned them into a 3,000+ Elo poker engine it's AI poker glasses built on Opus 5.5 + a custom card detector, and the whole workflow is open source here's the full breakdown: • step 1 → Meta gives you no API for the glasses, so he skipped it the Ray-Bans livestream straight to his laptop. the laptop sees exactly what he sees at the table • step 2 → a vision model finds every card in the frame suit and rank, with a confidence score on each one: "7c 0.60", "9s 0.85" • step 3 → no week of hand-labeling photos the detector is trained on synthetic data: tens of thousands of rendered cards on random tables and lighting, already labeled. • step 4 → it locks in your hand and the board "YOUR HAND: 9♠ 8♣" sits in the corner. the flop, turn and river get boxed in green as they land • step 5 → Opus 5.5 runs the math on every new card "straight, 89.46%" → "pair, 52.23%" → "high card, 4.61%" • step 6 → it gives you the move: raise, call, fold or all in • step 7 → then it reads the guy across the table facial expression analysis on your opponent: "detected emotion: fear". you're not just playing the odds anymore, you're playing the man • step 8 → all of it plays in your ear as one line: "poker odds: straight 89.46%. suggested move: all in. detected emotion: fear" under the hood: → it works for blackjack too. it counts every card it sees and tells you what's left in the shoe. that's when you bet big → every detection shows its confidence score on the box, so you can see when a read is shaky → the overlay draws everything live on the video: board in green, your hand in the corner, the move on screen → he tested it at a home game with friends before taking it to Vegas grab the workflow below 👇 then read the guide on reverse-engineering anything with Opus 5.5
2:25

a student from California just reverse-engineered his Meta Ray-Bans 3 with Opus 5.5 and turned them into a 3,000+ Elo poker engine it's AI poker glasses built on Opus 5.5 + a custom card detector, and the whole workflow is open source here's the full breakdown: • step 1 → Meta gives you no API for the glasses, so he skipped it the Ray-Bans livestream straight to his laptop. the laptop sees exactly what he sees at the table • step 2 → a vision model finds every card in the frame suit and rank, with a confidence score on each one: "7c 0.60", "9s 0.85" • step 3 → no week of hand-labeling photos the detector is trained on synthetic data: tens of thousands of rendered cards on random tables and lighting, already labeled. • step 4 → it locks in your hand and the board "YOUR HAND: 9♠ 8♣" sits in the corner. the flop, turn and river get boxed in green as they land • step 5 → Opus 5.5 runs the math on every new card "straight, 89.46%" → "pair, 52.23%" → "high card, 4.61%" • step 6 → it gives you the move: raise, call, fold or all in • step 7 → then it reads the guy across the table facial expression analysis on your opponent: "detected emotion: fear". you're not just playing the odds anymore, you're playing the man • step 8 → all of it plays in your ear as one line: "poker odds: straight 89.46%. suggested move: all in. detected emotion: fear" under the hood: → it works for blackjack too. it counts every card it sees and tells you what's left in the shoe. that's when you bet big → every detection shows its confidence score on the box, so you can see when a read is shaky → the overlay draws everything live on the video: board in green, your hand in the corner, the move on screen → he tested it at a home game with friends before taking it to Vegas grab the workflow below 👇 then read the guide on reverse-engineering anything with Opus 5.5

Codez

10,866 görüntüleme • 2 gün önce

I just reverse-engineered Apple AirDrop with Opus 5.5 to send files between my Mac & Windows PC this is insane... drag a file onto the other computer → hop. it's there. no cloud. no account. no cable. → here's the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder and paste the prompt below • step 2 → Opus picks the stack: one Electron codebase that runs on macOS and Windows • step 3 → discovery: every 1.5 s each computer says "i'm here" over UDP on your local network. the other one pops up on a radar • step 4 → transfer: files stream directly between the two machines. the other side gets Accept / Decline. "always accept" for your own computers • step 5 → before any UI, Opus wrote a test: two fake devices find each other and send a folder + a 3 MB file, byte for byte • step 6 → design: Opus split the work across parallel agents. one rebuilt the iOS 17 NameDrop glow as a WebGL shader, one drew 3 icon concepts and picked the best, one built the download site • step 7 → separate reviewer agents checked every piece. one caught a shader bug that would've rendered black on the Mac. i'm on Windows, i'd never have seen it • step 8 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 9 → first launch on the Mac: the icon just bounced in the dock. Opus added a startup log and a fallback that forces the window open. next build opened fine one afternoon. zero lines written by me. drop it on the Mac. it lands on the PC. that's it... find full prompt below ↓ Then read the article on how to reverse-engineer anything with Opus 5.5.
0:33

I just reverse-engineered Apple AirDrop with Opus 5.5 to send files between my Mac & Windows PC this is insane... drag a file onto the other computer → hop. it's there. no cloud. no account. no cable. → here's the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder and paste the prompt below • step 2 → Opus picks the stack: one Electron codebase that runs on macOS and Windows • step 3 → discovery: every 1.5 s each computer says "i'm here" over UDP on your local network. the other one pops up on a radar • step 4 → transfer: files stream directly between the two machines. the other side gets Accept / Decline. "always accept" for your own computers • step 5 → before any UI, Opus wrote a test: two fake devices find each other and send a folder + a 3 MB file, byte for byte • step 6 → design: Opus split the work across parallel agents. one rebuilt the iOS 17 NameDrop glow as a WebGL shader, one drew 3 icon concepts and picked the best, one built the download site • step 7 → separate reviewer agents checked every piece. one caught a shader bug that would've rendered black on the Mac. i'm on Windows, i'd never have seen it • step 8 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 9 → first launch on the Mac: the icon just bounced in the dock. Opus added a startup log and a fallback that forces the window open. next build opened fine one afternoon. zero lines written by me. drop it on the Mac. it lands on the PC. that's it... find full prompt below ↓ Then read the article on how to reverse-engineer anything with Opus 5.5.

Movez

53,756 görüntüleme • 3 gün önce

this is f*cking insane... a guy reverse-engineered his Ray-Ban Meta glasses with Opus 5.5 and turned them into JARVIS for the race track it reads the track in real time, draws the racing line on the asphalt and tells him when to brake, turn in and counter-steer his lap: 1:52.4 → 1:47.1. minus 5.3 seconds in one session here's how it works step by step: step 1 → the glasses stream what he sees to his phone, 30 frames a second step 2 → a vision model finds the asphalt, the curbs and the next corner in every frame, even with his head shaking step 3 → Opus 5.5 plans the racing line: outside → apex → outside, and paints it right on the road step 4 → green = full throttle. red = braking zone. orange = you're in the corner step 5 → before every turn: "BRAKE · 80 m", countdown, then "turn in", then "apex" step 6 → when the rear slides, it shows the drift angle and which way to counter-steer step 7 → the voice in his ear: "brake… now", "hold the apex", "full throttle" step 8 → a mini-map in the corner compares his line with the ideal one and shows the lap delta live under the hood: → no cloud, everything runs on the phone → if it loses the road, the line fades out instead of lying to you → every lap is saved, so it learns where you lose time F1 teams pay millions for a race engineer. he made one out of sunglasses
0:52

this is f*cking insane... a guy reverse-engineered his Ray-Ban Meta glasses with Opus 5.5 and turned them into JARVIS for the race track it reads the track in real time, draws the racing line on the asphalt and tells him when to brake, turn in and counter-steer his lap: 1:52.4 → 1:47.1. minus 5.3 seconds in one session here's how it works step by step: step 1 → the glasses stream what he sees to his phone, 30 frames a second step 2 → a vision model finds the asphalt, the curbs and the next corner in every frame, even with his head shaking step 3 → Opus 5.5 plans the racing line: outside → apex → outside, and paints it right on the road step 4 → green = full throttle. red = braking zone. orange = you're in the corner step 5 → before every turn: "BRAKE · 80 m", countdown, then "turn in", then "apex" step 6 → when the rear slides, it shows the drift angle and which way to counter-steer step 7 → the voice in his ear: "brake… now", "hold the apex", "full throttle" step 8 → a mini-map in the corner compares his line with the ideal one and shows the lap delta live under the hood: → no cloud, everything runs on the phone → if it loses the road, the line fades out instead of lying to you → every lap is saved, so it learns where you lose time F1 teams pay millions for a race engineer. he made one out of sunglasses

NO1ennn

418,671 görüntüleme • 4 gün önce

here’s how to build a game-ready room in blender and move it into unreal engine 5 with claude opus 5.5... nobody opened a 3d app by hand, and now it runs in real time the trick is letting opus decide how each object gets made, smart way to set it up: - step 1: connect opus 5.5 to blender through blender mcp - step 2: give it one reference image for the room: layout, mood, light - step 3: simple objects get modeled directly in blender (walls, desk, shelves, boxes, blinds) - step 4: complex props get a reference image first, then tripo turns it into 3d (chair, monitors, figurines) - step 5: opus cleans up the tripo props in blender and places them in the room - step 6: light the scene in blender until the stills look right - step 7: have opus port the whole scene from blender to unreal engine 5 - step 8: the room now runs live in the engine, ready for gameplay the agent works, you direct. he still checked every result and gave notes along the way
0:46

here’s how to build a game-ready room in blender and move it into unreal engine 5 with claude opus 5.5... nobody opened a 3d app by hand, and now it runs in real time the trick is letting opus decide how each object gets made, smart way to set it up: - step 1: connect opus 5.5 to blender through blender mcp - step 2: give it one reference image for the room: layout, mood, light - step 3: simple objects get modeled directly in blender (walls, desk, shelves, boxes, blinds) - step 4: complex props get a reference image first, then tripo turns it into 3d (chair, monitors, figurines) - step 5: opus cleans up the tripo props in blender and places them in the room - step 6: light the scene in blender until the stills look right - step 7: have opus port the whole scene from blender to unreal engine 5 - step 8: the room now runs live in the engine, ready for gameplay the agent works, you direct. he still checked every result and gave notes along the way

rewind

84,372 görüntüleme • 12 gün önce

I turned my DJI Mavic into a home security drone with REA & Opus 5.5. this f*cking is insane.. I reverse-engineered my DJI drone with Opus 5.5 no cloud. no GPS on the target. it all runs on the phone. iPhone or Android. here's the build step by step: step 1 → plug a spare phone into the Mavic remote and paste the prompt below into Claude Code on Opus 5.5 step 2 → Opus checks your drone against the DJI Mobile SDK v5 list. not on it? stop there. no firmware hacks step 3 → it builds a small app on the official DJI SDK: Swift for iPhone, Kotlin for Android step 4 → sync with the alarm: Home Assistant sees it trigger → push to your phone → one tap "Launch" step 5 → eyes: a tiny YOLO model on the phone's chip. Core ML on iPhone, LiteRT on Android step 6 → memory: a Kalman filter. he runs behind a fence → LOCKED → COASTING → re-locks on the same ID step 7 → hands: Virtual Stick at 10 Hz. box center → yaw, box size → distance, never closer than 8 m step 8 → at the property line it stops, climbs to 30 m and keeps the camera on him until he's out of sight step 9 → lands back on the pad. the clip with track, distance and timestamps is already on your phone the alarm wakes you up. the drone already knows where he went... Find full prompt below Then, read the article below on how to reverse-engineer anything with Opus 5.5.
0:26

I turned my DJI Mavic into a home security drone with REA & Opus 5.5. this f*cking is insane.. I reverse-engineered my DJI drone with Opus 5.5 no cloud. no GPS on the target. it all runs on the phone. iPhone or Android. here's the build step by step: step 1 → plug a spare phone into the Mavic remote and paste the prompt below into Claude Code on Opus 5.5 step 2 → Opus checks your drone against the DJI Mobile SDK v5 list. not on it? stop there. no firmware hacks step 3 → it builds a small app on the official DJI SDK: Swift for iPhone, Kotlin for Android step 4 → sync with the alarm: Home Assistant sees it trigger → push to your phone → one tap "Launch" step 5 → eyes: a tiny YOLO model on the phone's chip. Core ML on iPhone, LiteRT on Android step 6 → memory: a Kalman filter. he runs behind a fence → LOCKED → COASTING → re-locks on the same ID step 7 → hands: Virtual Stick at 10 Hz. box center → yaw, box size → distance, never closer than 8 m step 8 → at the property line it stops, climbs to 30 m and keeps the camera on him until he's out of sight step 9 → lands back on the pad. the clip with track, distance and timestamps is already on your phone the alarm wakes you up. the drone already knows where he went... Find full prompt below Then, read the article below on how to reverse-engineer anything with Opus 5.5.

Codez

274,357 görüntüleme • 4 gün önce

I just reverse-engineered CCleaner / CleanMyMac with Opus 5.5 for Mac & Windows PC this is insane... one tap → 14.6 GB of junk gone. fully open-source and free. → here’s the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder, paste the prompt below + a few CleanMyMac screenshots • step 2 → Opus didn’t start coding. it drew 9 UI concepts on a canvas first. i picked one, it rebuilt the fonts, icons and glass buttons until it looked like Apple made it • step 3 → i sent it a random video of smoky gradients. Opus turned it into a live WebGL shader: “cosmic wind” rising behind the scan result • step 4 → stack: one Electron + React codebase that runs on macOS and Windows • step 5 → Opus split the build across 8 parallel agents. one wrote the junk scanner, one the disk map, one the AI assistant, one the tips & feedback screens, one the installers • step 6 → a separate safety agent attacked every line that deletes something. it caught a Windows short-name trick (DOCUME~1) that could’ve sent my whole Documents folder to the Recycle Bin. and an icon loader that could leak my Windows password hash to a remote machine • step 7 → the disk map is a physics toy: drag a folder bubble, throw it, watch it bump the others • step 8 → built-in AI: plug in Claude or ChatGPT and ask “what can i safely delete?” it only sees file names and sizes, never contents • step 9 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 10 → first real test: the startup-apps toggle said “Windows did not allow the change” Opus found PowerShell was losing the exit code after the admin prompt, made the app check the registry instead. next build: works one afternoon. zero lines written by me. 14.6 GB freed on the first click. that’s it... Find full prompt below ↓ Then, read how to rebuild any app from scratch with Opus 5.5 in the article below.
0:35

I just reverse-engineered CCleaner / CleanMyMac with Opus 5.5 for Mac & Windows PC this is insane... one tap → 14.6 GB of junk gone. fully open-source and free. → here’s the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder, paste the prompt below + a few CleanMyMac screenshots • step 2 → Opus didn’t start coding. it drew 9 UI concepts on a canvas first. i picked one, it rebuilt the fonts, icons and glass buttons until it looked like Apple made it • step 3 → i sent it a random video of smoky gradients. Opus turned it into a live WebGL shader: “cosmic wind” rising behind the scan result • step 4 → stack: one Electron + React codebase that runs on macOS and Windows • step 5 → Opus split the build across 8 parallel agents. one wrote the junk scanner, one the disk map, one the AI assistant, one the tips & feedback screens, one the installers • step 6 → a separate safety agent attacked every line that deletes something. it caught a Windows short-name trick (DOCUME~1) that could’ve sent my whole Documents folder to the Recycle Bin. and an icon loader that could leak my Windows password hash to a remote machine • step 7 → the disk map is a physics toy: drag a folder bubble, throw it, watch it bump the others • step 8 → built-in AI: plug in Claude or ChatGPT and ask “what can i safely delete?” it only sees file names and sizes, never contents • step 9 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 10 → first real test: the startup-apps toggle said “Windows did not allow the change” Opus found PowerShell was losing the exit code after the admin prompt, made the app check the registry instead. next build: works one afternoon. zero lines written by me. 14.6 GB freed on the first click. that’s it... Find full prompt below ↓ Then, read how to rebuild any app from scratch with Opus 5.5 in the article below.

Movez

133,689 görüntüleme • 1 gün önce

Jev + Opus 5.5: Anthropic's new model beats GPT-6 Astra for 1/5 the cost, and 4 API changes will 400 your agent before it writes a single line I pulled these 10 steps from the migration docs so you don't learn them in production step 1 → $4 / $20 per 1M. Opus 5 was $5 / $25. cache reads dropped from $0.50 to $0.20 step 2 → 66.4% on Terminal-Bench 4.0 vs GPT-6 Astra 57.9% and Opus 5 52.3%. +14.1 points in one release, and on FrontierCode it beats Astra at default effort for 1/5 the cost step 3 → thinking can't be turned off anymore. send thinking: disabled and you get a 400. drop the field, set effort step 4 → tool_choice any and tool are gone. 400. switch to auto + strict step 5 → edit anything above a thinking block and the request dies. append only, or opt into drop_block step 6 → computer_20251124 is dead on the API. 400. move to computer_toolset_20260801 step 7 → the quiet one: default effort fell from high to medium. your agent thinks less than you set it up to and nothing tells you step 8 → hop Opus 5.5 → Sonnet 5 → Opus 5.5 and you pay 4.36 instead of 3.32. +31%, the cache dies and Sonnet can't read Opus's reasoning step 9 → change effort at the top of the request and the cache is gone. Jev sets it per message and the cache stays step 10 → switch fast - standard mid-session and it's a full cache miss. Jev picks speed once, on turn one one model, three knobs, zero 400s. that is Jev + Opus 5.5 send this to your Claude Code before you touch the model ID, then read my full Jev deep dive in the article below ↓
0:40

Jev + Opus 5.5: Anthropic's new model beats GPT-6 Astra for 1/5 the cost, and 4 API changes will 400 your agent before it writes a single line I pulled these 10 steps from the migration docs so you don't learn them in production step 1 → $4 / $20 per 1M. Opus 5 was $5 / $25. cache reads dropped from $0.50 to $0.20 step 2 → 66.4% on Terminal-Bench 4.0 vs GPT-6 Astra 57.9% and Opus 5 52.3%. +14.1 points in one release, and on FrontierCode it beats Astra at default effort for 1/5 the cost step 3 → thinking can't be turned off anymore. send thinking: disabled and you get a 400. drop the field, set effort step 4 → tool_choice any and tool are gone. 400. switch to auto + strict step 5 → edit anything above a thinking block and the request dies. append only, or opt into drop_block step 6 → computer_20251124 is dead on the API. 400. move to computer_toolset_20260801 step 7 → the quiet one: default effort fell from high to medium. your agent thinks less than you set it up to and nothing tells you step 8 → hop Opus 5.5 → Sonnet 5 → Opus 5.5 and you pay 4.36 instead of 3.32. +31%, the cache dies and Sonnet can't read Opus's reasoning step 9 → change effort at the top of the request and the cache is gone. Jev sets it per message and the cache stays step 10 → switch fast - standard mid-session and it's a full cache miss. Jev picks speed once, on turn one one model, three knobs, zero 400s. that is Jev + Opus 5.5 send this to your Claude Code before you touch the model ID, then read my full Jev deep dive in the article below ↓

Carnage

16,674 görüntüleme • 1 ay önce

build an open-world combat prototype in unreal engine with claude opus 5.5... in just a few days the trick is letting opus direct the work inside the engine. here’s the workflow: - step 1: connect opus 5.5 to unreal engine through mcp - step 2: generate the character in tripo ai with smart mesh p2 for a clean low-poly mesh - step 3: clean the asset up in blender, then import it into unreal - step 4: have opus build the map: terrain, hills, paths, autumn trees, flower meadows - step 5: add movement and sword attacks on top of unreal’s third person template - step 6: have opus add sword trails with niagara - step 7: make the grass react: it burns and darkens wherever the blade hits - step 8: run through the world and fix what looks off up close effects should touch the world. a sword trail is nice (dev: xikhar)
0:34

build an open-world combat prototype in unreal engine with claude opus 5.5... in just a few days the trick is letting opus direct the work inside the engine. here’s the workflow: - step 1: connect opus 5.5 to unreal engine through mcp - step 2: generate the character in tripo ai with smart mesh p2 for a clean low-poly mesh - step 3: clean the asset up in blender, then import it into unreal - step 4: have opus build the map: terrain, hills, paths, autumn trees, flower meadows - step 5: add movement and sword attacks on top of unreal’s third person template - step 6: have opus add sword trails with niagara - step 7: make the grass react: it burns and darkens wherever the blade hits - step 8: run through the world and fix what looks off up close effects should touch the world. a sword trail is nice (dev: xikhar)

rewind

20,091 görüntüleme • 5 gün önce

Claude Opus 5.5 just hacked my TV box and turned it into Mac Mini... my AI agents now run 24/7 on free box from my TV provider while I sleep (every step on video) 1 reverse-engineering prompt + guide below = you don't need $899 Mac Mini: step 1 → that box behind your TV is a Linux computer, Claude does the thinking in the cloud, TV box just runs the tools step 2 → Claude Code x-rays it from prompt below + one photo step 3 → it installs a real Linux shell built for your chip, many boxes run 32-bit Android, so the wrong build won't even install step 4 → then it adds a wake lock + battery whitelist, so Android can't kill your agent in the background like normal apps step 5 → it wires the agent to your own Telegram bot: answers only you, zero open ports, your API key never touches the chat step 6 → close your laptop and set a task once, it runs all night with zero babysitting step 7 → optional: hook your TV up as a live terminal and watch the agent think and write every line of code in real time the result: $899 Mac Mini is faster with 8x the RAM, but for small 24/7 AI tasks - TV box does the job (but 8 TV boxes still cost less than one $899 Mac Mini) p.s: this methodworks on Android TV, Google TV and Fire TV boxes on Android 7+, mine has just 2 GB of RAM different box? let Claude Code figure it out Run it today. Then read article below on how to reverse-engineer anything:
0:26

Claude Opus 5.5 just hacked my TV box and turned it into Mac Mini... my AI agents now run 24/7 on free box from my TV provider while I sleep (every step on video) 1 reverse-engineering prompt + guide below = you don't need $899 Mac Mini: step 1 → that box behind your TV is a Linux computer, Claude does the thinking in the cloud, TV box just runs the tools step 2 → Claude Code x-rays it from prompt below + one photo step 3 → it installs a real Linux shell built for your chip, many boxes run 32-bit Android, so the wrong build won't even install step 4 → then it adds a wake lock + battery whitelist, so Android can't kill your agent in the background like normal apps step 5 → it wires the agent to your own Telegram bot: answers only you, zero open ports, your API key never touches the chat step 6 → close your laptop and set a task once, it runs all night with zero babysitting step 7 → optional: hook your TV up as a live terminal and watch the agent think and write every line of code in real time the result: $899 Mac Mini is faster with 8x the RAM, but for small 24/7 AI tasks - TV box does the job (but 8 TV boxes still cost less than one $899 Mac Mini) p.s: this methodworks on Android TV, Google TV and Fire TV boxes on Android 7+, mine has just 2 GB of RAM different box? let Claude Code figure it out Run it today. Then read article below on how to reverse-engineer anything:

codila

55,706 görüntüleme • 11 gün önce

Claude Opus 5.5 just reverse-engineered my CarPlay... 1 voice command + 5 min = total control: CarPlay that obeys me, ads skipped, any app on the dash and that’s just the beginning here’s the full guide step by step: step 1 → plug your iPhone into the car and put your laptop on the same hotspot step 2 → paste the prompt below into Claude Code with a photo of your head unit step 3 → unlock the hidden engineering menu - Claude tells you the exact button combo on the wheel step 4 → hit “allow” on the screen once - last time you lift a finger step 5 → say “Hey Claude, open the Roadster launch on CarPlay” - it opens YouTube, types the search, hits play step 6 → add any app straight from GitHub - no App Store, no CarPlay whitelist the result: you talk, the dash moves. anything you can say, your car can do... p.s: works on almost any CarPlay head unit. Mine in the video is a BMW iDrive Try it now, you’re welcome. Then read the article below on how to reverse-engineer anything:
0:39

Claude Opus 5.5 just reverse-engineered my CarPlay... 1 voice command + 5 min = total control: CarPlay that obeys me, ads skipped, any app on the dash and that’s just the beginning here’s the full guide step by step: step 1 → plug your iPhone into the car and put your laptop on the same hotspot step 2 → paste the prompt below into Claude Code with a photo of your head unit step 3 → unlock the hidden engineering menu - Claude tells you the exact button combo on the wheel step 4 → hit “allow” on the screen once - last time you lift a finger step 5 → say “Hey Claude, open the Roadster launch on CarPlay” - it opens YouTube, types the search, hits play step 6 → add any app straight from GitHub - no App Store, no CarPlay whitelist the result: you talk, the dash moves. anything you can say, your car can do... p.s: works on almost any CarPlay head unit. Mine in the video is a BMW iDrive Try it now, you’re welcome. Then read the article below on how to reverse-engineer anything:

Codez

127,742 görüntüleme • 12 gün önce

JEV + OPUS 5.5 IS INSANE FOR BUILDING A COMPANY BRAIN I pulled the whole architecture out of the TypeSafe and Anthropic docs and packed it into a 14-page PDF the 10 steps: 1. meet the pair > Opus 5.5 thinks, Jev decides, your code holds the branch 2. stop asking a text generator for a yes or no > Jev returns a typed answer with a calibrated probability in 0.44s for $0.00035 3. ask everything at once > Choice, Score and Noul run in parallel, so the fourth question costs almost nothing 4. branch on the number > 0.999 goes straight into the if statement. ~99% of turns end right here 5. stop routing blind > Opus 5.5 to Sonnet and back costs 5.84 against 3.32 for staying on 5.5 6. keep one context warm > cache reads at $0.20 per Mtok are 20x cheaper than a fresh load 7. escalate the hard part > the toughest 1% goes to Opus 5.5 with 1M context and 66.4% on Terminal-Bench 4.0 8. score every chunk on every query > keep whole, summarize or drop. the context gets rebuilt each turn 9. gate the actual command > every bash call gets classified before it runs, inside your own code 10. judge 100% of runs > $3.50 a day for 10,000 traces, and it matched the human label on all 500 decisions the result: a while loop that paid a frontier model for every tiny call turns into a brain that spends a fraction of a cent to notice and pays properly only when it has to think the person who brings this into their team walks into the budget meeting with the AI bill cut and the output up the PDF maps the company brain. the loop side of it - how Jev takes a Claude bill from $765 to $3 a month - is in the article below ↓
0:24

JEV + OPUS 5.5 IS INSANE FOR BUILDING A COMPANY BRAIN I pulled the whole architecture out of the TypeSafe and Anthropic docs and packed it into a 14-page PDF the 10 steps: 1. meet the pair > Opus 5.5 thinks, Jev decides, your code holds the branch 2. stop asking a text generator for a yes or no > Jev returns a typed answer with a calibrated probability in 0.44s for $0.00035 3. ask everything at once > Choice, Score and Noul run in parallel, so the fourth question costs almost nothing 4. branch on the number > 0.999 goes straight into the if statement. ~99% of turns end right here 5. stop routing blind > Opus 5.5 to Sonnet and back costs 5.84 against 3.32 for staying on 5.5 6. keep one context warm > cache reads at $0.20 per Mtok are 20x cheaper than a fresh load 7. escalate the hard part > the toughest 1% goes to Opus 5.5 with 1M context and 66.4% on Terminal-Bench 4.0 8. score every chunk on every query > keep whole, summarize or drop. the context gets rebuilt each turn 9. gate the actual command > every bash call gets classified before it runs, inside your own code 10. judge 100% of runs > $3.50 a day for 10,000 traces, and it matched the human label on all 500 decisions the result: a while loop that paid a frontier model for every tiny call turns into a brain that spends a fraction of a cent to notice and pays properly only when it has to think the person who brings this into their team walks into the budget meeting with the AI bill cut and the output up the PDF maps the company brain. the loop side of it - how Jev takes a Claude bill from $765 to $3 a month - is in the article below ↓

Mr. Buzzoni

103,282 görüntüleme • 1 ay önce

closed source is dead... i just reverse-engineered CCleaner / CleanMyMac with Opus 5.5 for Mac & Windows PC $40/year cleaners → replaced in one afternoon. → free. open code. no account. no upsells. how it came together: • step 1 → Claude Code on Opus 5.5 in an empty folder. one long prompt + a few CleanMyMac screenshots • step 2 → no code at first. Opus mocked up 9 different designs, i picked the one i liked and it kept polishing • step 3 → 8 agents worked at the same time, each on its own part: scanner, disk map, AI, startup apps, installers • step 4 → the rule that makes it safe: caches get deleted (they come back on their own), anything you made goes to the Trash first • step 5 → one more agent’s only job was to break it. it found a sneaky Windows path that could’ve trashed my entire Documents folder. fixed before i ever pressed Clean • step 6 → first click on my own PC: 14.6 GB freed • step 7 → ask the built-in AI (Claude or ChatGPT) “what can i delete?” it sees file names and sizes, never what’s inside them • step 8 → GitHub builds the Mac and Windows installers on every release. i never touched a Mac paid cleaners charge you to delete your own cache. this one shows you the code. Find full prompt below ↓ Then read the article on how to Reverse Engineer Anything with Opus 5.5.
0:35

closed source is dead... i just reverse-engineered CCleaner / CleanMyMac with Opus 5.5 for Mac & Windows PC $40/year cleaners → replaced in one afternoon. → free. open code. no account. no upsells. how it came together: • step 1 → Claude Code on Opus 5.5 in an empty folder. one long prompt + a few CleanMyMac screenshots • step 2 → no code at first. Opus mocked up 9 different designs, i picked the one i liked and it kept polishing • step 3 → 8 agents worked at the same time, each on its own part: scanner, disk map, AI, startup apps, installers • step 4 → the rule that makes it safe: caches get deleted (they come back on their own), anything you made goes to the Trash first • step 5 → one more agent’s only job was to break it. it found a sneaky Windows path that could’ve trashed my entire Documents folder. fixed before i ever pressed Clean • step 6 → first click on my own PC: 14.6 GB freed • step 7 → ask the built-in AI (Claude or ChatGPT) “what can i delete?” it sees file names and sizes, never what’s inside them • step 8 → GitHub builds the Mac and Windows installers on every release. i never touched a Mac paid cleaners charge you to delete your own cache. this one shows you the code. Find full prompt below ↓ Then read the article on how to Reverse Engineer Anything with Opus 5.5.

Codez

34,415 görüntüleme • 1 gün önce

THIS IS A PURE F*CKING GOLDMINE Anthropic just shared one of the best tricks for Claude Code. The idea: let Opus 5.5 write the plan as a script, and let a swarm of cheaper agents run it. Bigger jobs and way fewer Opus tokens, because the script holds the plan and Opus only sees the final answer. You just launch Claude Code like this: claude --model opus --effort ultracode here's the split: → Opus 5.5 turns your task into a workflow script → Haiku 5.5 agents scan every file in parallel → Sonnet 5.5 agents patch each fix in its own isolated copy → you stop burning Opus context on a hundred agent transcripts Opus only shows up at three moments: → writing the workflow before the run → reading the verified results after it → signing off before anything ships Opus plans. Haiku scans. Sonnet ships. JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > Opus 5.5 runs the main session and writes the workflow > scan audits every file on Haiku 5.5 > edit patches each fix on Sonnet 5.5 in an isolated copy > verify cross-checks every finding on Sonnet 5.5 > Opus 5.5 reads only what survived verification > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Rebuild my Claude Code setup around this tree: 1. Run the main session on Opus 5.5 with ultracode on. 2. In every workflow, run read-only scan stages on Haiku 5.5 and edit stages on Sonnet 5.5, each edit in its own isolated copy. 3. Add one rule to CLAUDE.md: every finding gets an independent verifier agent before it's reported, and fix loops stop after two rounds with no progress. 4. Route fast deterministic forks (tool choice, path selection, retries) through JEV. Show me every change as a diff first. No edits until I say go." ↳ save it, it'll come in handy.
0:32

THIS IS A PURE F*CKING GOLDMINE Anthropic just shared one of the best tricks for Claude Code. The idea: let Opus 5.5 write the plan as a script, and let a swarm of cheaper agents run it. Bigger jobs and way fewer Opus tokens, because the script holds the plan and Opus only sees the final answer. You just launch Claude Code like this: claude --model opus --effort ultracode here's the split: → Opus 5.5 turns your task into a workflow script → Haiku 5.5 agents scan every file in parallel → Sonnet 5.5 agents patch each fix in its own isolated copy → you stop burning Opus context on a hundred agent transcripts Opus only shows up at three moments: → writing the workflow before the run → reading the verified results after it → signing off before anything ships Opus plans. Haiku scans. Sonnet ships. JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > Opus 5.5 runs the main session and writes the workflow > scan audits every file on Haiku 5.5 > edit patches each fix on Sonnet 5.5 in an isolated copy > verify cross-checks every finding on Sonnet 5.5 > Opus 5.5 reads only what survived verification > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Rebuild my Claude Code setup around this tree: 1. Run the main session on Opus 5.5 with ultracode on. 2. In every workflow, run read-only scan stages on Haiku 5.5 and edit stages on Sonnet 5.5, each edit in its own isolated copy. 3. Add one rule to CLAUDE.md: every finding gets an independent verifier agent before it's reported, and fix loops stop after two rounds with no progress. 4. Route fast deterministic forks (tool choice, path selection, retries) through JEV. Show me every change as a diff first. No edits until I say go." ↳ save it, it'll come in handy.

xsmryze

60,207 görüntüleme • 8 gün önce

here's how to build a game in Unreal Engine with Claude Opus 5.5... the trick is letting Opus work inside the live editor, but there's a smart way to set it up: - step 1: Unreal Engine 5 + the Third Person template, so you can walk and jump from minute one - step 2: enable Unreal MCP and AllToolsets in the editor, start the server - step 3: install Epic's plugin in Claude Code and have Opus read the project before it changes anything - step 4: one prompt builds a playable base level: a valley, a dirt path, a town at the end, 3 glowing collectibles - step 5: test the whole route with the default mannequin before any custom art - step 6: bring in a rigged character on the UE5 Mannequin skeleton, Opus swaps it in and wires walk, run and jump - step 7: import your forest and town assets, Opus places them along the route - step 8: refine in small batches: vegetation, lighting, a minimap, the town entrance and the rule that saves the project... a successful tool call doesn't mean the level is right check the editor after every batch, and never change terrain, lighting and character in one prompt
1:03

here's how to build a game in Unreal Engine with Claude Opus 5.5... the trick is letting Opus work inside the live editor, but there's a smart way to set it up: - step 1: Unreal Engine 5 + the Third Person template, so you can walk and jump from minute one - step 2: enable Unreal MCP and AllToolsets in the editor, start the server - step 3: install Epic's plugin in Claude Code and have Opus read the project before it changes anything - step 4: one prompt builds a playable base level: a valley, a dirt path, a town at the end, 3 glowing collectibles - step 5: test the whole route with the default mannequin before any custom art - step 6: bring in a rigged character on the UE5 Mannequin skeleton, Opus swaps it in and wires walk, run and jump - step 7: import your forest and town assets, Opus places them along the route - step 8: refine in small batches: vegetation, lighting, a minimap, the town entrance and the rule that saves the project... a successful tool call doesn't mean the level is right check the editor after every batch, and never change terrain, lighting and character in one prompt

rewind

61,390 görüntüleme • 24 gün önce

THIS IS A PURE F*CKING GOLDMINE Anthropic just shared one of the best tricks for Claude Code. The idea: let Opus 5.5 write the plan as a script, and let a swarm of cheaper agents run it. Bigger jobs and way fewer Opus tokens, because the script holds the plan and Opus only sees the final answer. You just launch Claude Code like this: claude --model opus --effort ultracode here's the split: → Opus 5.5 turns your task into a workflow script → Haiku 5.5 agents scan every file in parallel → Sonnet 5.5 agents patch each fix in its own isolated copy → you stop burning Opus context on a hundred agent transcripts Opus only shows up at three moments: → writing the workflow before the run → reading the verified results after it → signing off before anything ships Opus plans. Haiku scans. Sonnet ships. JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > Opus 5.5 runs the main session and writes the workflow > scan audits every file on Haiku 5.5 > edit patches each fix on Sonnet 5.5 in an isolated copy > verify cross-checks every finding on Sonnet 5.5 > Opus 5.5 reads only what survived verification > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Rebuild my Claude Code setup around this tree: 1. Run the main session on Opus 5.5 with ultracode on. 2. In every workflow, run read-only scan stages on Haiku 5.5 and edit stages on Sonnet 5.5, each edit in its own isolated copy. 3. Add one rule to CLAUDE.md: every finding gets an independent verifier agent before it's reported, and fix loops stop after two rounds with no progress. 4. Route fast deterministic forks (tool choice, path selection, retries) through JEV. Show me every change as a diff first. No edits until I say go." ↳ save it, it'll come in handy.
0:32

THIS IS A PURE F*CKING GOLDMINE Anthropic just shared one of the best tricks for Claude Code. The idea: let Opus 5.5 write the plan as a script, and let a swarm of cheaper agents run it. Bigger jobs and way fewer Opus tokens, because the script holds the plan and Opus only sees the final answer. You just launch Claude Code like this: claude --model opus --effort ultracode here's the split: → Opus 5.5 turns your task into a workflow script → Haiku 5.5 agents scan every file in parallel → Sonnet 5.5 agents patch each fix in its own isolated copy → you stop burning Opus context on a hundred agent transcripts Opus only shows up at three moments: → writing the workflow before the run → reading the verified results after it → signing off before anything ships Opus plans. Haiku scans. Sonnet ships. JEV engineering is the same move one layer down: the forks that need no thinker (which file, which tool, retry or stop) go to JEV in milliseconds, and the big models only see the ones that split the full tree > Opus 5.5 runs the main session and writes the workflow > scan audits every file on Haiku 5.5 > edit patches each fix on Sonnet 5.5 in an isolated copy > verify cross-checks every finding on Sonnet 5.5 > Opus 5.5 reads only what survived verification > JEV routes micro-forks in milliseconds paste the tree and this prompt into Claude Code ↓ "Rebuild my Claude Code setup around this tree: 1. Run the main session on Opus 5.5 with ultracode on. 2. In every workflow, run read-only scan stages on Haiku 5.5 and edit stages on Sonnet 5.5, each edit in its own isolated copy. 3. Add one rule to CLAUDE.md: every finding gets an independent verifier agent before it's reported, and fix loops stop after two rounds with no progress. 4. Route fast deterministic forks (tool choice, path selection, retries) through JEV. Show me every change as a diff first. No edits until I say go." ↳ save it, it'll come in handy.

delost

399,685 görüntüleme • 16 gün önce

here's how to make a cozy fishing game solo with Claude Opus 5.5 + Blender + 3D AI + Unity 6... the trick is giving every tool one job, but there's a smart way to set it up: - step 1: generate every 3D model with Tripo Smart Mesh P2: palms, rocks, the pier, the boat, the hut, the character - step 2: connect Claude Code to Blender through MCP - step 3: Opus 5.5 sets up each model in Blender: scale, pivots, materials, clean export - step 4: Opus animates in Blender too: the character's walk, the cast, the rod, the boat on the water - step 5: bring everything into Unity 6 and build the world: forest, river, waterfall, beach, pier - step 6: add the systems one at a time: walking, fishing, bait choice, a time of day - step 7: play it after every step and fix one thing at a time who does what: > Tripo: the 3D models > Opus 5.5 + Blender: setup and animation > Unity 6: the world and the game one person, one stack, one game you'd actually want to play
0:27

here's how to make a cozy fishing game solo with Claude Opus 5.5 + Blender + 3D AI + Unity 6... the trick is giving every tool one job, but there's a smart way to set it up: - step 1: generate every 3D model with Tripo Smart Mesh P2: palms, rocks, the pier, the boat, the hut, the character - step 2: connect Claude Code to Blender through MCP - step 3: Opus 5.5 sets up each model in Blender: scale, pivots, materials, clean export - step 4: Opus animates in Blender too: the character's walk, the cast, the rod, the boat on the water - step 5: bring everything into Unity 6 and build the world: forest, river, waterfall, beach, pier - step 6: add the systems one at a time: walking, fishing, bait choice, a time of day - step 7: play it after every step and fix one thing at a time who does what: > Tripo: the 3D models > Opus 5.5 + Blender: setup and animation > Unity 6: the world and the game one person, one stack, one game you'd actually want to play

rewind

234,988 görüntüleme • 19 gün önce

how to create a local game using Claude Opus 5.5 and Unity 6... a beach, a pier, a day/night cycle, real fishing controls the trick is never asking for “a fishing game” in one prompt: - step 1: create a unity 6 project (urp template) and install unity’s plugin in claude code - step 2: greybox the level with simple shapes and a camera, no art yet - step 3: add the core mechanic in one prompt, then play it until it feels right - step 4: generate models in tripo, clean them up with opus in blender, import as fbx - step 5: add light, water, effects and sound last - step 6: have opus playtest it with an autopilot and list the bugs before fixing anything who does what: > unity 6: the world, physics, ui > tripo + blender: every model > opus 5.5: scripts, scene setup, cleanup, tests > you: play it and decide what stays commit after every step that works. one bad prompt then costs you seconds, not an evening
1:02

how to create a local game using Claude Opus 5.5 and Unity 6... a beach, a pier, a day/night cycle, real fishing controls the trick is never asking for “a fishing game” in one prompt: - step 1: create a unity 6 project (urp template) and install unity’s plugin in claude code - step 2: greybox the level with simple shapes and a camera, no art yet - step 3: add the core mechanic in one prompt, then play it until it feels right - step 4: generate models in tripo, clean them up with opus in blender, import as fbx - step 5: add light, water, effects and sound last - step 6: have opus playtest it with an autopilot and list the bugs before fixing anything who does what: > unity 6: the world, physics, ui > tripo + blender: every model > opus 5.5: scripts, scene setup, cleanup, tests > you: play it and decide what stays commit after every step that works. one bad prompt then costs you seconds, not an evening

rewind

38,620 görüntüleme • 15 gün önce

here’s how to build a japanese canal boat game with claude opus 5.5 + unity 6 + blender.. the trick is one system per prompt, smart way to set it up: - step 1: create a unity 6 urp project and connect opus 5.5 through unity’s plugin and blender mcp - step 2: greybox the canal: water channel, stone walls, 2 bridges, docks - step 3: boat physics: throttle, steering, wake trails, speed in knots on the hud - step 4: opus models the props in blender: the covered boat, houses, the vermilion bridge, the pagoda, lanterns - step 5: water shader + day/night cycle + rain, with lanterns that switch on at dusk - step 6: a compass on top and 9 landmarks that unlock on the map (“water gate, 3 of 9”) - step 7: docking lessons: “come alongside the temple steps below 2 kn and press e” - step 8: opus playtests in play mode, reads the console and lists bugs before fixing who does what: > blender: every model > unity 6: the water, the light, the weather, the ui > opus 5.5: boat physics, quests, scene setup, tests > you: steer it and say what feels off i like to test every feature at night in the rain. if it still looks good there, it’ll look good everywhere.
1:10

here’s how to build a japanese canal boat game with claude opus 5.5 + unity 6 + blender.. the trick is one system per prompt, smart way to set it up: - step 1: create a unity 6 urp project and connect opus 5.5 through unity’s plugin and blender mcp - step 2: greybox the canal: water channel, stone walls, 2 bridges, docks - step 3: boat physics: throttle, steering, wake trails, speed in knots on the hud - step 4: opus models the props in blender: the covered boat, houses, the vermilion bridge, the pagoda, lanterns - step 5: water shader + day/night cycle + rain, with lanterns that switch on at dusk - step 6: a compass on top and 9 landmarks that unlock on the map (“water gate, 3 of 9”) - step 7: docking lessons: “come alongside the temple steps below 2 kn and press e” - step 8: opus playtests in play mode, reads the console and lists bugs before fixing who does what: > blender: every model > unity 6: the water, the light, the weather, the ui > opus 5.5: boat physics, quests, scene setup, tests > you: steer it and say what feels off i like to test every feature at night in the rain. if it still looks good there, it’ll look good everywhere.

rewind

17,666 görüntüleme • 11 gün önce

here's how to build a game like this with Claude Opus 5.5 + Blender + Unity 6... the trick is preparing everything before Opus writes a single line, but there's a smart way to set it up: - step 1: connect Claude Code to Unity and Blender through MCP - step 2: write one big brief: the world, the mechanics, the UI, the mood, plus reference images - step 3: add a CLAUDE.md with your rules, and design docs as the single source of truth so Opus never guesses - step 4: split the work into subagents: design, modeling, textures, and one reviewer that only looks and approves - step 5: Opus models the assets in Blender: the island, palms, pier, boat, fishing hut - step 6: it builds a greybox in Unity first, plays it, fixes it, and repeats - step 7: mechanics one layer at a time: walking, casting, bait, catching, day and night - step 8: you watch and give feedback with a reason: "too dark at dusk", "cut the water stripes" and the two rules that make it work... the agent that builds is never the one that approves every fix gets written into a file, so the next project starts smarter start small, a fishing game is the perfect first project
0:52

here's how to build a game like this with Claude Opus 5.5 + Blender + Unity 6... the trick is preparing everything before Opus writes a single line, but there's a smart way to set it up: - step 1: connect Claude Code to Unity and Blender through MCP - step 2: write one big brief: the world, the mechanics, the UI, the mood, plus reference images - step 3: add a CLAUDE.md with your rules, and design docs as the single source of truth so Opus never guesses - step 4: split the work into subagents: design, modeling, textures, and one reviewer that only looks and approves - step 5: Opus models the assets in Blender: the island, palms, pier, boat, fishing hut - step 6: it builds a greybox in Unity first, plays it, fixes it, and repeats - step 7: mechanics one layer at a time: walking, casting, bait, catching, day and night - step 8: you watch and give feedback with a reason: "too dark at dusk", "cut the water stripes" and the two rules that make it work... the agent that builds is never the one that approves every fix gets written into a file, so the next project starts smarter start small, a fishing game is the perfect first project

rewind

178,421 görüntüleme • 21 gün önce